DNN-Based Forensic Watermark Tracking System for Realistic Content Copyright Protection
Jaehyoung Park, Jihye Kim, Jiyou Seo, Sangpil Kim, Jong‐Hyouk Lee · Electronics · 2023
The metaverse-related content market is active and the demand for immersive content is increasing. However, there is no definition for granting copyrights to the content produced using artificial intelligence and discussions are still ongoing. We expect that the need for copyright protection for immersive content used in the metaverse environment will emerge and that related copyright protection techniques will be required. In this paper, we present the idea of 3D-to-2D watermarking so that content creators can protect the copyright of immersive content available in the metaverse environment. We propose an immersive content copyright protection using a deep neural network (DNN), a neural network composed of multiple hidden layers, and a forensic watermark.